GPT-5.5: उत्पादन अद्ययावत
पुष्टी झाली8 स्रोत दुवे
इंग्रजी मूळ आवृत्ती

OpenAI
| मॉडेल | पुराव्यांच्या लिंक | इनपुट / आउटपुट किंमत |
|---|---|---|
gpt-5.5batch · long context | openai API मार्ग उपलब्ध नाही | $5.00 (इनपुट > 2,72,000 टोकन) / $22.50 (इनपुट > 2,72,000 टोकन) |
gpt-5.5batch · short context | openai API मार्ग उपलब्ध नाही | $2.50 (इनपुट ≤ 2,72,000 टोकन) / $15.00 (इनपुट ≤ 2,72,000 टोकन) |
gpt-5.5fast · short context | openai API मार्ग उपलब्ध नाही | $12.50 (इनपुट ≤ 2,72,000 टोकन) / $75.00 (इनपुट ≤ 2,72,000 टोकन) |
gpt-5.5flex · long context | openai API मार्ग उपलब्ध नाही | $5.00 (इनपुट > 2,72,000 टोकन) / $22.50 (इनपुट > 2,72,000 टोकन) |
gpt-5.5flex · short context | openai API मार्ग उपलब्ध नाही | $2.50 (इनपुट ≤ 2,72,000 टोकन) / $15.00 (इनपुट ≤ 2,72,000 टोकन) |
gpt-5.5standard · long context | openai API मार्ग उपलब्ध नाही | $10.00 (इनपुट > 2,72,000 टोकन) / $45.00 (इनपुट > 2,72,000 टोकन) |
gpt-5.5standard · short context | openai API मार्ग उपलब्ध नाही | $5.00 (इनपुट ≤ 2,72,000 टोकन) / $30.00 (इनपुट ≤ 2,72,000 टोकन) |
Before GPT‑5.5, Adam says models could only execute experiments prescribed by a user
GPT‑5.5 could
At launch, GPT‑Live will use GPT‑5.5 in the background
cations for details and * recommended replacements. */ model: | 'gpt-6-astra' | 'gpt-6.1-sol' | 'gpt-6.1-terra' | 'gpt-6-sol' | 'gpt-6-luna' | 'gpt-5.6-sol' | 'gpt-5.6-terra' | 'gpt-5.6-luna' | 'gpt-5.5' | 'gpt-5.5-2026-04-23' | 'gpt-5.4' | 'gpt-5.4-mini' | 'gpt-5.4-nano' | 'gpt-5.4-mini-2026-03-17' | 'gpt-5.4-nano-2026-03-17' | 'gpt-5.3-chat-latest' | 'gpt-5.2' | 'gpt-5.2-2025-12-11' | 'gpt-5.2-chat-latest' | 'gpt-5.2-pro' | 'gpt-5.2-pro-2025-12-11' | 'gpt-5.1' | 'gpt-5.1-2025-11-13' | 'gpt-5.1-codex' | 'gpt-5.1-mini' | 'gpt-5.1-chat-latest' | 'gpt-5' | 'gpt-5-mini' | 'gpt-5-nano' | 'gpt-5-2025-08-07' | 'gpt-5-mini-2025-08-07' | 'gpt-5-nano-2025-08-07' | 'gpt-5-chat-latest' | 'gpt-4.1' | 'gpt-4.1-mini' | 'gpt-4.1-nano'
d model.startswith("computer-use-preview") @classmethod def _is_ga_computer_model(cls, model: str | ChatModel | None) -> bool: return isinstance(model, str) and ( model.startswith("gpt-5.4") or model.startswith("gpt-5.5") ) @classmethod def resolve_computer_tool_model( cls, *, request_model: str | ChatModel | None, tools: Sequence[Tool] | None, ) -> str | ChatModel | None: if not cls._has_computer_tool(tools): return None return request_model @classmethod def _should_use_preview_computer_tool( cls, *, model: str | ChatModel | None, tool_choice: Literal["auto", "required", "none"] | str | MCPToolChoice | None, ) -> bool: # Choose the computer tool wire shape from the effective request model when we know it. #
edits: vec![ ConfigEdit { key_path: "profiles.\"team.prod\".model".to_string(), value: json!("gpt-5.5"), merge_strategy: MergeStrategy::Replace, }, ConfigEdit { key_path: "items.sample@catalog.enabled".to_string(), value: json!(true), merge_strategy: MergeStrategy::Replace, }, ],
कोडमधील हा उल्लेख वापरात असलेल्या मॉडेल ओळखचिन्हाची पुष्टी करत नाही.
AI_MODEL_ID: &str = "gpt-6.1-terra"; const GPT_6_SOL_OPENAI_MODEL_ID: &str = "gpt-6-sol"; const GPT_6_LUNA_OPENAI_MODEL_ID: &str = "gpt-6-luna"; const GPT_6_ASTRA_OPENAI_MODEL_ID: &str = "gpt-6-astra"; const GPT_5_5_OPENAI_MODEL_ID: &str = "gpt-5.5"; pub(crate) fn static_model_catalog() -> ModelsResponse { let catalog = ModelsResponse { models: vec![ bedrock_model( bundled_openai_model(GPT_6_1_SOL_OPENAI_MODEL_ID), AMAZON_BEDROCK_GPT_6_1_SOL_MODEL_ID, "GPT-6.1 Sol", /*priority*/ 0, ), bedrock_model( bundled_openai_model(GPT_6_ASTRA_OPENAI_MODEL_ID), AMAZON_BEDROCK_GPT_6_ASTRA_MODEL_ID, "GPT-6-Astra", /*priority*/ 1, ), bedrock_model( bundled_openai_model(GPT_6_1_
local import UnixLocalSandboxClient from agents.sandbox.session.base_sandbox_session import BaseSandboxSession if __package__ is None or __package__ == "": sys.path.insert(0, str(Path(__file__).resolve().parents[2])) DEFAULT_MODEL = "gpt-5.5" COMPACTION_THRESHOLD = 1_000 VERIFICATION_FILE = Path("verification/capabilities.txt") DELETE_FILE = Path("verification/delete-me.txt") class RecordingModel(Model): def __init__(self, model_name: str) -> None: self._model = OpenAIProvider().get_model(model_name) self.first_input: str | list[TResponseInputItem] | None = None self.first_model_settings: ModelSettings | None = None async def get_response( self, system_instructions: str | None, input: str | list[TResponseInputItem], model_settings: ModelSettings, tools: list[Tool], output_schema: AgentOu
कोडमधील हा उल्लेख वापरात असलेल्या मॉडेल ओळखचिन्हाची पुष्टी करत नाही.
Literal[ "gpt-6-astra", "gpt-6.1-sol", "gpt-6.1-terra", "gpt-6-sol", "gpt-6-luna", "gpt-5.6-sol", "gpt-5.6-terra", "gpt-5.6-luna", "gpt-5.5", "gpt-5.5-2026-04-23", "gpt-5.4", "gpt-5.4-mini", "gpt-5.4-nano", "gpt-5.4-mini-2026-03-17", "gpt-5.4-nano-2026-03-17", "gpt-5.3-chat-latest", "gpt-5.2", "gpt-5.2-2025-12-11", "gpt-5.2-chat-latest", "gpt-5.2-pro", "gpt-5.2-pro-2025-12-11", "gpt-5.1", "gpt-5.1-2025-11-13", "gpt-5.1-codex", "gpt-5.1-mini", "gpt-5.1-chat-latest", "gpt-5", "gpt-5-mini", "gpt-5-nano", "gpt-5-2025-08-07",
{ run } from '@openai/agents'; import { gitRepo, SandboxAgent } from '@openai/agents/sandbox'; import { UnixLocalSandboxClient } from '@openai/agents/sandbox/local'; const agent = new SandboxAgent({ name: 'Workspace Assistant', model: 'gpt-5.5', instructions: 'Inspect the repo before changing files.', defaultManifest: { entries: { repo: gitRepo({ repo: 'openai/openai-agents-js' }) }, }, }); const result = await run( agent, 'Inspect the repo README and summarize what this project does.', { sandbox: { client: new UnixLocalSandboxClient() } }, ); console.log(result.finalOutput); ``` ### Build a realtime agent Use a [Realtime Agent](https://openai.github.io/openai-agents-js/guides/voice-agents/quickstart/) for low-latency, spoken interactions in the browser. ```js import { RealtimeAgent, RealtimeSession } from '@openai/agents/realtime'; const agent = ne
कोडमधील हा उल्लेख वापरात असलेल्या मॉडेल ओळखचिन्हाची पुष्टी करत नाही.
from '@openai/agents'; import { OpenAI } from 'openai'; const client = new OpenAI({ apiKey: 'test' }); void client.responses.create({ model: 'gpt-5.6-sol', input: 'test', service_tier: 'fast', }); new OpenAIResponsesModel(client, 'gpt-5.5'); setDefaultOpenAIClient(client); const defaultClient: OpenAI | undefined = getDefaultOpenAIClient(); void defaultClient;
कोडमधील हा उल्लेख वापरात असलेल्या मॉडेल ओळखचिन्हाची पुष्टी करत नाही.
With this update, canvas will no longer be available in GPT-5.5 Instant or GPT-5.5 Thinking
These models will replace GPT-5.5 Instant
With this update, canvas will no longer be available in GPT-5.5 Instant or GPT-5.5 Thinking
#44930 Embed friendly instructions in bundled GPT-5.4 and GPT-5.5
AI completes 16% of the freelance tasks in Remote Labor Index CAIS updated the Remote Labor Index — a benchmark where AI agents complete real client projects: design, video, CAD, architecture, analytics, and web apps. The work is reviewed by humans and compared against a professional deliverable that a paying client would accept. New results: • Claude Fable 5 — 16.1% • Claude Opus 4.8 — 8.3% • GPT-5.5 — 6.3% Fable 5 is now the top model in RLI and almost 2x higher than Opus 4.8. When the benchmark launched, the best result was 2.5%.
GPT-5.5 हे OpenAI चे मॉडेल आहे; रिलीजची तारीख 2026-04-23। कॉन्टेक्स्ट विंडो 10,50,000 टोकन आहे। कमाल आउटपुट 1,28,000 टोकन आहे।
कॉन्टेक्स्ट विंडो 10,50,000 टोकन आहे। कमाल आउटपुट 1,28,000 टोकन आहे।
2026-04-23 रोजी।